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Conceptualizing childhood health problems using survey data: a comparison of key indicators

BACKGROUND: Many definitions are being used to conceptualize child health problems. With survey data, commonly used indicators for identifying children with health problems have included chronic condition checklists, measures of activity limitations, elevated service use, and health utility threshol...

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Autores principales: Kohen, Dafna E, Brehaut, Jamie C, Garner, Rochelle E, Miller, Anton R, Lach, Lucyna M, Klassen, Anne F, Rosenbaum, Peter L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248574/
https://www.ncbi.nlm.nih.gov/pubmed/18053253
http://dx.doi.org/10.1186/1471-2431-7-40
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author Kohen, Dafna E
Brehaut, Jamie C
Garner, Rochelle E
Miller, Anton R
Lach, Lucyna M
Klassen, Anne F
Rosenbaum, Peter L
author_facet Kohen, Dafna E
Brehaut, Jamie C
Garner, Rochelle E
Miller, Anton R
Lach, Lucyna M
Klassen, Anne F
Rosenbaum, Peter L
author_sort Kohen, Dafna E
collection PubMed
description BACKGROUND: Many definitions are being used to conceptualize child health problems. With survey data, commonly used indicators for identifying children with health problems have included chronic condition checklists, measures of activity limitations, elevated service use, and health utility thresholds. This study compares these different indicators in terms of the prevalence rates elicited, and in terms of how the subgroups identified differ. METHODS: Secondary data analyses used data from the National Longitudinal Survey of Children and Youth, which surveyed a nationally representative sample of Canadian children (n = 13,790). Descriptive analyses compared healthy children to those with health problems, as classified by any of the key indicators. Additional analyses examined differences between subgroups of children captured by a single indicator and those described as having health problems by multiple indicators. RESULTS: This study demonstrates that children captured by any of the indicators had poorer health than healthy children, despite the fact that over half the sample (52.2%) was characterized as having a health problem by at least one indicator. Rates of child ill health differed by indicator; 5.6% had an activity limitation, 9.2% exhibited a severe health difficulty, 31.7% reported a chronic condition, and 36.6% had elevated service use. Further, the four key indicators captured different types of children. Indicator groupings differed on child and socio-demographic factors. Compared to children identified by more than one indicator, those identified only by the severe health difficulty indicator displayed more cognitive problems (p < 0.0001), those identified only by the chronic condition checklist had a greater likelihood of reporting allergies or asthma (p < 0.0001), and those identified as having elevated service use only were more affluent (p = 0.01) and showed better overall health (p < 0.0001). Children identified by only a single indicator were less likely to have serious health problems than those identified by two or more indicators. CONCLUSION: We provide information useful to researchers when selecting indicators from survey data to identify children with health problems. Researchers and policy makers need to be aware of the impact of such definitions on prevalence rates as well as on the composition of children classified as being in poor health.
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spelling pubmed-22485742008-02-21 Conceptualizing childhood health problems using survey data: a comparison of key indicators Kohen, Dafna E Brehaut, Jamie C Garner, Rochelle E Miller, Anton R Lach, Lucyna M Klassen, Anne F Rosenbaum, Peter L BMC Pediatr Research Article BACKGROUND: Many definitions are being used to conceptualize child health problems. With survey data, commonly used indicators for identifying children with health problems have included chronic condition checklists, measures of activity limitations, elevated service use, and health utility thresholds. This study compares these different indicators in terms of the prevalence rates elicited, and in terms of how the subgroups identified differ. METHODS: Secondary data analyses used data from the National Longitudinal Survey of Children and Youth, which surveyed a nationally representative sample of Canadian children (n = 13,790). Descriptive analyses compared healthy children to those with health problems, as classified by any of the key indicators. Additional analyses examined differences between subgroups of children captured by a single indicator and those described as having health problems by multiple indicators. RESULTS: This study demonstrates that children captured by any of the indicators had poorer health than healthy children, despite the fact that over half the sample (52.2%) was characterized as having a health problem by at least one indicator. Rates of child ill health differed by indicator; 5.6% had an activity limitation, 9.2% exhibited a severe health difficulty, 31.7% reported a chronic condition, and 36.6% had elevated service use. Further, the four key indicators captured different types of children. Indicator groupings differed on child and socio-demographic factors. Compared to children identified by more than one indicator, those identified only by the severe health difficulty indicator displayed more cognitive problems (p < 0.0001), those identified only by the chronic condition checklist had a greater likelihood of reporting allergies or asthma (p < 0.0001), and those identified as having elevated service use only were more affluent (p = 0.01) and showed better overall health (p < 0.0001). Children identified by only a single indicator were less likely to have serious health problems than those identified by two or more indicators. CONCLUSION: We provide information useful to researchers when selecting indicators from survey data to identify children with health problems. Researchers and policy makers need to be aware of the impact of such definitions on prevalence rates as well as on the composition of children classified as being in poor health. BioMed Central 2007-12-05 /pmc/articles/PMC2248574/ /pubmed/18053253 http://dx.doi.org/10.1186/1471-2431-7-40 Text en Copyright © 2007 Kohen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kohen, Dafna E
Brehaut, Jamie C
Garner, Rochelle E
Miller, Anton R
Lach, Lucyna M
Klassen, Anne F
Rosenbaum, Peter L
Conceptualizing childhood health problems using survey data: a comparison of key indicators
title Conceptualizing childhood health problems using survey data: a comparison of key indicators
title_full Conceptualizing childhood health problems using survey data: a comparison of key indicators
title_fullStr Conceptualizing childhood health problems using survey data: a comparison of key indicators
title_full_unstemmed Conceptualizing childhood health problems using survey data: a comparison of key indicators
title_short Conceptualizing childhood health problems using survey data: a comparison of key indicators
title_sort conceptualizing childhood health problems using survey data: a comparison of key indicators
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248574/
https://www.ncbi.nlm.nih.gov/pubmed/18053253
http://dx.doi.org/10.1186/1471-2431-7-40
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